Liiv

Senior Vice President, Engineering

Liiv

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $180,000 - $240,000 per year

Job Level

Lead

Tech Stack

AWSETLJavaNoSQLPythonSQL

About the role

  • Oversee development and implementation of the technical strategy and manage engineering leads and their teams
  • Spearhead end-to-end transformation to deliver revenue growth
  • Build and deliver the technology roadmap aligned with strategic priorities and business vision
  • Ensure successful delivery of products by overseeing timelines and resource allocation
  • Lead the engineering organization, promoting a culture of innovation, collaboration, and continuous improvement
  • Identify and mitigate technical risks to ensure stability and security of systems and products
  • Track and analyze KPIs to measure success of initiatives
  • Develop and assess financial plans and budgets for development initiatives
  • Drive adoption of new technologies and methodologies and quantify results and metrics
  • Work closely with Leadership team and senior leaders to drive engineering strategy and performance

Requirements

  • 10+ years of experience in data tech and product development leadership roles
  • Deep understanding of SaaS B2B products and organizational complexities
  • MSc in Data Science, Computer Science, or a related field
  • Experience working for a PE backed firm in a scale-up environment
  • Exceptional leadership, communication, and conflict-resolution skills
  • Solid track record in hiring, coaching, and growing engineering talent
  • Expert software engineering expertise in Java, Python and AWS
  • Sound understanding of APIs, source control (via Git/Github) and OpenAPI documentation
  • Understanding of both SQL and NoSQL databases
  • Proven experience with AI and ML in embedded or integrated system development
  • Familiarity with databases (SQL, NoSQL), data warehousing, data lakes, and big data technologies
  • Experience with data integration tools and ETL/ELT
  • Proficiency in data analytics and visualization and storytelling with UX
  • Proven knowledge of machine learning algorithms, frameworks, and AI technologies
  • Awareness of data governance principles, data privacy laws and security best practices
  • Comfortable working across time zones and managing asynchronous communication effectively
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